The healthcare industry relies on Big Data to improve patient outcomes, reduce costs, and enhance research capabilities. Electronic Health Records (EHRs) store vast amounts of patient data, allowing medical professionals to access historical records, track treatment progress, and identify potential health risks.

Predictive analytics in healthcare helps detect diseases at an early stage by analyzing medical imaging, genetic data, and patient histories. AI-powered diagnostic tools, such as IBM Watson Health, assist doctors in making more accurate diagnoses and recommending personalized treatments.

Big Data also plays a crucial role in drug discovery and clinical trials, where pharmaceutical companies use large datasets to identify promising drug candidates and optimize clinical trial processes. Additionally, real-time health monitoring through wearable devices and IoT sensors allows for continuous patient monitoring and early detection of health anomalies.